Triple

T10849638
Position Surface form Disambiguated ID Type / Status
Subject Berkshire Township, Delaware County, Ohio E256108 entity
Predicate hasNumberOfTownshipsInCounty P43984 FINISHED
Object one of eighteen townships in Delaware County, Ohio LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: one of eighteen townships in Delaware County, Ohio | Statement: [Berkshire Township, Delaware County, Ohio, hasNumberOfTownshipsInCounty, one of eighteen townships in Delaware County, Ohio]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfTownshipsInCounty
Context triple: [Berkshire Township, Delaware County, Ohio, hasNumberOfTownshipsInCounty, one of eighteen townships in Delaware County, Ohio]
  • A. hasNumberOfCounties
    Indicates the relationship that specifies how many counties are associated with or contained within a given entity.
  • B. hasNumberOfMunicipalities
    Indicates the relationship that specifies how many municipalities are associated with or contained within a given administrative or geographic entity.
  • C. eachCountyHas
    Indicates that for every county in a given set or context, there exists at least one associated item, attribute, or entity satisfying a specified condition.
  • D. numberPerCounty chosen
    Indicates the quantity or count of something associated with each individual county.
  • E. hasTownship
    Indicates that one administrative area or jurisdiction includes or is associated with a specific township.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75115e4a88190b77be46b63db0c84 completed April 9, 2026, 7:11 a.m.
PD Predicate disambiguation batch_69d70d2b51448190bae748ed6c23edde completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:20 p.m.